
Girip Iulia
@giripiulia
Medical Engineering graduate building MATLAB ECG arrhythmia classification and Python tools for printed ECG images.
What I'm looking for
My bachelor’s thesis at the Technical University of Cluj-Napoca focused on automatically detecting and classifying cardiac arrhythmias from digital and printed ECG signals. I developed a MATLAB analysis pipeline for signal preprocessing, QRS detection, HRV feature extraction, and machine-learning evaluation, then built a Python Streamlit demonstration app for uploaded printed ECG images.
At County Clinical Emergency Hospital of Cluj-Napoca, I studied and disassembled decommissioned medical devices to understand their mechanisms and engineering principles. I also modelled cardiovascular dynamics using SimVascular and analysed flow and pressure imbalances in MATLAB, and designed a KiCAD PCB for an ECG signal acquisition amplifier.
Experience
Work history, roles, and key accomplishments
Intern
CartoMed
Jul 2025 - Jul 2025 (0 months)
Completed a 90-hour internship focused on medical equipment and digital documentation.
Medical Engineering Intern
County Clinical Emergency Hospital of Cluj-Napoca
Jul 2024 - Jul 2024 (0 months)
Studied and disassembled decommissioned medical devices to understand their internal mechanisms and engineering principles.
Media Volunteer
JobShop Career Event by BEST
Jan 2023 - Dec 2023 (11 months)
Supported digital content and event promotion.
Education
Degrees, certifications, and relevant coursework
Technical University of Cluj-Napoca
Bachelor of Science, Medical Engineering
2022 -
Pursuing a B.Sc. in Medical Engineering with a thesis on automatic detection and classification of cardiac arrhythmias using HRV features from ECG signals.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
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